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This study attempts to assess the ability of Belgian REITs to protect against inflation. The methodology used to assess this ability is based on the extension of Fisher’s hypothesis (1930) developed by Fama and Schwert (1977). A linear regression estimated by ordinary least squares as well as a vector error correction model are used to provide both short and long term answers. As far as the data is concerned, monthly returns of Belgian REITs from January 2000 to March 2024 compiled manually by the author are treated.
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This thesis investigates the impact of key macroeconomic variables on the growth and evolution of shadow banking across six countries—France, Germany, India, Japan, the United Kingdom, and the United States—over a 15-year period from 2007 to 2022. By employing panel data analysis and econometric modeling, including Ordinary Least Squares (OLS), Fixed Effects, and Random Effects models, the study explores how factors such as GDP growth, government bond yields, stock market indices, and liquidity reserves influence non-bank financial intermediation (NBFI), a proxy for shadow banking activities. The findings reveal that among the variables examined, stock market performance has a significant negative impact on shadow banking, indicating that declines in stock markets are associated with reduced shadow banking activities. However, other variables like GDP growth, government bond yields, and liquidity reserves did not show significant effects in the models applied. The study highlights the complexity of the shadow banking system and suggests that while stock market conditions are critical, other macroeconomic and regulatory factors may play a nuanced role in shaping the sector's dynamics. The thesis concludes with a discussion on the limitations of the analysis and recommendations for future research, emphasizing the need for ongoing monitoring and regulation to ensure financial stability in an increasingly interconnected global financial system.
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In the wake of the global financial crisis of 2008, central banks worldwide embarked on a journey of unconventional monetary policy measures to stimulate economic recovery. One prominent feature of this era has been the persistent lowering of interest rates to what economists refer to as the effective lower bound. As central banks approached this boundary, the efficacy of traditional monetary policy tools came into question, leading to a surge in academic research exploring alternative strategies for conducting monetary policy in such circumstances.
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This research thesis explored the relationship between fluctuations in fair value measurements and the Net Asset Value (NAV) of investment funds. Through a comprehensive analysis using regression models and ANOVA, the study demonstrates that fair value adjustments significantly impact NAV, revealing a strong correlation between these variables. The findings confirm that the volatility of fair value measurements plays a critical role in the variability of NAV, underscoring the importance of accurate financial reporting and robust risk management in investment fund management. This thesis contributes valuable insights into the financial dynamics that influence fund valuation, providing a foundation for further research and practical applications in the field of finance.
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This master’s thesis studies the systemic risk of the hedge funds industry through a model developed and used by van Oordt and Zhou (2019a, 2019b). This model measures systemic risk by splitting it into two components: the Pure Tail Risk, defined as the relative tail exposure towards the whole financial system approximated by the S&P500, and the Systemic Linkage, which represents the probabilistic link of the extreme negative returns between the hedge funds and that proxy. Our first intended contribution resides in the explanation and the reconciliation of these two measures, the downside riskrelated component and the tail dependence aspect, into one single metric. Our second contribution relates to innovations brought in the estimation method, which relies on Extreme Value Theory to overcome the scarcity of data and the low frequency of reporting inherent to the hedge funds databases. In order to do so, we implement a LASSO-Generalized Pareto Regression for tail exposure explanations and use copula distributions for tail dependence measurement.Our work provides several new insights. We observe a significant positive correlation between liquidity and systemic risk indicators, which highlights the link between shadow banking, hedge funds and systemic risk. Moreover, a larger fund size and a longer advance notice act as systemic risk reducers, while the lockup period drives up the systemic threat. Driven by the Pure Tail Risk, the results show an increase of the systemic risk during period of stability such as the period of 2003 to 2006 and after the 2008 crisis. Coupled with the high commonality of the industry in such periods, observed by Bussière et al. (2014) between 2003 and 2006, our findings highlight the potential threat that hedge funds bring to the stability of the financial system. We uncover a common dynamic behaviour of hedge fund strategies over time, even though Equity Hedge and Event Driven hedge funds show significantly higher values. This results is all the more important given that we observe that the Equity Hedge strategy represents the largest fraction of the industry. Finally, our model stresses a shift of the hedge funds tail risk dynamic after the 2008 crisis, showing a genuine potential for future research.As a result, we believe that our efforts to identify and explain the systemic risk of the hedge funds industry and its components have led to insightful results, which point to an increasing need for an adapted regulation.
Finance --- Hedge funds --- Systemic risk --- Value-at-risk --- Tail dependence --- Shadow banking --- Sciences économiques & de gestion > Finance
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ESG is increasingly becoming a topic of interest for research and investors. While some may be interested to invest in ESG for ethical reasons, some may be more interested in capturing excess returns from this class of asset. In any case, both individuals are interested in the impact of ESG implementation on the performance of stocks. This study analyzes the impact of green scores (Environmental pillar) on stocks’ performance and shows that in Europe and using Refinitiv dataset, brown stocks tend to outperform. Following Pastor et al. (2021) methodology and using Ardia et al. (2020) climate concern index, I show that unexpected changes in investor climate concern do not have an impact on the portfolio level but positively impact green stocks’ performance at the stock level.
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This master thesis presents the main intuitions related to the optimal monetary policy and optimal fiscal-monetary policy mix literature, considering the zero lower bound on the nominal interest rate, through three main branches: the stabilization trade-off between prices and output gap, the history-dependent policy, and the counter-cyclical policy. The main results are, at the zero lower bound, firstly, an optimal monetary policy should commit to a history-dependent policy in order to stimulate the aggregate demand and reduce the deflation expectations, secondly, combining the monetary and fiscal history-dependent policy allows to create an inflationary and output boom, thirdly, a counter-cyclical fiscal policy regarding the government spending is effective. The thesis ends with an application to the case of the euro area, mainly through the analysis of the various crisis over the past fourteen years, and presents one personal economic avenue for improving the policy mix in the euro area: the implementation of an optimal forward-guidance policy mix.
Zero Lower Bound --- Optimal policy --- Euro Area --- Forward guidance --- Policy mix --- Sciences économiques & de gestion > Macroéconomie & économie monétaire
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Central bank digital currencies (CBDCs) are admittedly a hot topic worldwide, and rightfully so as they potentially embody the innovative payment rails of tomorrow’s monetary system, thereby helping in making money and payments fit for decades to come. Globally, over 90 percent of central banks are cautiously exploring such financial innovation alongside all stakeholders and a dozen guardians of stability have already spearheaded the (r)evolution. Such endeavors are often motivated by public good objectives, from safeguarding public trust in money, ensuring its safe access and financial inclusion to strengthening financial stability and monetary policy altogether. While its wide-ranging impacts are certainly far from being understood, a consensus is growing that the financial stability risks stemming from bank disintermediation are manageable. However, research proves to be far thinner regarding the implications of CBDCs once available to foreign citizens. This work aims to investigate such intricacies in open economies based on New Keynesian DSGE models. We contribute to the exponentially growing literature in several ways. At first, we provide the lateststance of research concerning the financial and monetary implications of the digital monies. Secondly, we develop tractable models including CBDCs in its most simplistic form. Our two-economy model proves to be most appropriate to study the case of Sweden, with its world oldest central bank expected to lead the change in the medium term.In line with existing literature, we found the existence of real and financial international spillovers,most apparent in light of CBDCs. Unsurprisingly, we also unravelled that its demand is left unchanged when offered at a lower remuneration rate than bonds. At last, we conclude that our simplistic inclusion of CBDCs is likely to have limited impact on the conduct and transmission of monetary policy, in accordance with initial central banks’ efforts.Our results depend crucially on the models’ underlying assumptions, and in particular in regard to the CBDC parameters upon which there is currently little benchmark, and which heavily influence the responses. Numerous avenues for future work are also outlined
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Previously, the low interest rate environment has been related to supporting inflation and economic activity in the wake of the global financial crisis of 2008. Until recently, this Low-For-Long (LFL) interest rate environment is a source of risk because of its potential effects on banks' profitability and consequently on financial stability. In the academic literature, the impact of LFL interest rates on bank profitability has been discussed by several authors and in different economies around the world. It was found that there are several oppositions between central bank economists and academic economists. The former did not consider that the expansionary monetary policy had a negative effect on bank profitability, and, therefore, did not have a negative effect on the economy through the banking system. The latter, however, argued that the effect of the LFL on banking channels was negative and thus had a negative effect on the economy. The opposing views of the different authors are reflected in the ambivalent results of studies. While some point at the potential negative effects on bank profitability, others argue that the effect is neutral. These oppositions stem from the ambiguous results of recent empirical work on this issue. In contrast to the relationship between profitability and interest rates, the scientific literature is not very developed on the relationship between bank risk-taking and low interest rates. This research thesis presents an empirical analysis to measure the impact of low interest rates on the risk-taking and profitability of banks in the euro area (EA). To carry out our empirical study, the use of a fixed effect model allows us to analyse the relationship between interest rates and profitability as well as risk-taking of banks in the EA. To do so, annual data from 85 major European banks directly supervised by the ECB over 20 years, from 2000 to 2020, are used to empirically estimate the above relationship. Based on our regression results, the impact of low interest rates is found to have a positive effect on ROA while the effect is negative for the NIM. Regarding the relationship between banks' risk-taking and low interest rates, the effects are positive for risk-taking. Despite our various models and analyses, it would be wrong to draw a hasty conclusion. A theoretical discussion of the impact of an increase in the European Central Bank's key interest rate on bank profitability and risk-taking is presented at the end of this research paper.
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The world economy has been hit hard by the continuing conflict in Ukraine, which has added to the difficulties caused by the COVID-19 pandemic in the past two years. Energy prices have risen, supply systems have been disrupted, and market uncertainty has been amplified because of the conflict. The influence of the Ukrainian conflict on the financial records of companies that filed reports from within the conflict zone is examined in this study. The implementation of IFRS for the fiscal years 2022 and 2023 is its primary concern. First, we sorted the PFTS index companies' annual and intermediate reports for the years 2022 and 2023 based on industry to check for any patterns or implications. We conducted interviews with important stakeholders to provide more details to the yearly reports and identify implications that weren't immediately obvious. We were able to comprehend the complete scope of these unexpected implications thanks to the interviews we conducted with various parties. An organization's response to the crisis in Ukraine depends on the type of business it runs. The price increases have helped some businesses, like energy and commodities, but have caused significant problems for others, like manufacturing and telecommunications, due to supply chain disruptions and unstable economic conditions. Since it only focuses on big, well-known companies, this research may not give a true picture of smaller organizations, even though it advances our understanding of some of the most important problems with financial information transparency from the viewpoints of investors and management. In addition, the ongoing conflict in Ukraine may have long-term consequences on financial reporting that the study does not fully reflect.
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